Replaced SPSS + Survey Reporter so that I now only need one tool. Has a load of fantastic integrations with R for advanced analysis. I particularly like the latent class segmentation tool. Easy to use, pretty intuitive, and I feel I've only scraped the surface of possible use. Review collected by and hosted on G2.com.

It's not a deal breaker, but it only works on Windows, so I have to run a virtual Windows PC on my Mac. The one other thing is that if you export respondent level data, even if it's just a handful of variables for few hundred records, it can sometimes take 30-60 minutes to do this. Review collected by and hosted on G2.com.

Perhaps the best attribute of Q is the support. There is extensive documentation available for users as as resource, in addition to person-to-person help. The online forum documentation includes tutorial videos and the company hosts several webinars every quarter to stay up to speed on not only the product, but also industry best practices.

In addition to the support, the product itself is accessible for both the novice and expert with market research software. Unlike SPSS or WinCross, you don't need to learn any syntax to build crosstabs. However, if you are more seasoned with R, there are several advanced options available to customize your deliverables. Also, unlike some of the more traditional resources, and certainly the biggest sell for Q is the ability to automate the process from data prep all the way through reporting. You can build your tabs and export into powerpoint presentations all within the platform, making Q a differentiated product in the space. Review collected by and hosted on G2.com.

While the product is filling a white space for market research software (data prep, analysis, reporting all in one automated tool), there still seems to be a long ways to go for full automation. When setting up the framework for your crosstabs and reports, there is still quite a bit of manual labor.

With that being said, for someone who is used to SPSS or WinCross, it can be somewhat challenging to transition from a syntax-heavy platform into the drag and drop functionality. When first learning the program, it does take some getting used to and is at first difficult to build more advanced or complex logic sequences or tables. It takes time and practice to pick up. Review collected by and hosted on G2.com.

I love that Q has a very simple graphic user interface and is much more intuitive than other research/stats software on the market. Review collected by and hosted on G2.com.

It can be difficult to get a hang of the various functions depending on your field (different names are used for the same methods, depending on your area of research). Review collected by and hosted on G2.com.

It's not SPSS. I've tried more or less the full set of survey analysis tools - from the basic cross tab tools like Survey Reporter and MarketSight to the infinitely more complex and powerful R, and of course the standard SPSS which tries to do both and fails at doing either. Q is much better than all of them for the vast majority of tasks in survey analysis.

It's just very clear from the beginning that Q was designed to do what you expect a survey analysis tool to do, to the point where everything else looks clunky and unusable. It's especially well built for tracking studies (or similar projects with different iterations i.e. a repeat among a different audience, or a different attempt at the same research question), but it is great for complex one-off studies too.

Data cleaning, data transformation, data design, data analysis, data outputs - all much better than their competitors, with the exception of R and data analysis. And since Q integrated R into its platform it blows everything else out of the water. The best thing in truth is probably how it links up with Excel and PowerPoint - you can basically watch it do the job of a Research Assistant, quicker and more accurately, right in front of your eyes with a couple of clicks. But it's all great. Review collected by and hosted on G2.com.

The visualisations are seriously retro. If the guys that run Q and Displayr can nail that part of things down - making the default chart templates look clean and professional, while giving the advanced visualisations a genuine wow factor - then they're on track to being the industry standard.

As it is they are the best out there but data vis is the direction the industry is going in, and so far none of the survey analysis tools have been able to do it well - including Q. I'd be uncomfortable sharing them with anyone in my own company never mind with clients.

You can do some really cool things in R but you need serious technical knowledge to do so. The best thing about Q is it's designed to make everything you need easily accessible. Soon enough data vis will go from being a nice to have to an absolute essential and I hope the folks here lead the charge! Review collected by and hosted on G2.com.

The ability to auto-post charts in PowerPoint is a huge time saver. How variables are created and handled is helpful/more efficient than SPSS Review collected by and hosted on G2.com.

There are certain limitations with how the data is exported, there's a learning curve as its much different than other programs, learning javascript ahead of time helps. Review collected by and hosted on G2.com.

The Q software is absolutely amazing, it allows for quick and easy data processing and analysis. Far better than any other software I’ve used in my 10 years in research.

Again, the software has multiple features to prevent errors and streamline data manipulation. Review collected by and hosted on G2.com.

Making small edits to data tends to be a winding process, but the security of avoiding unintended data edits is well worth it especially because we share project files with multiple users internally. An additional data editing module would be a nice bonus Review collected by and hosted on G2.com.

Excellent customer service, powerful software, intuitive and lots of useful shortcuts. Ability to export to Powerpoint templates is excellent. Review collected by and hosted on G2.com.

Software with some kinks to work out, data setup has some learning curve Review collected by and hosted on G2.com.

Love it. Intuitive. Powerful. Easy to use.

Been using SPSS and other stat packages for nearly 35 years. Q runs circles around SPSS when it comes to market research applications. Review collected by and hosted on G2.com.

I don't have any major dislikes about Q Research Review collected by and hosted on G2.com.

It is just so quick and easy to use ... it's very easy to set up tables, it's easy to conduct tracking studies, run multivariate analysis, export data (which is in a format that can easily be used by our chart system). it's not hard to learn to use, and if I do have a question, there is plenty of supporting documentation (e.g. online training, the wiki, and the support team are all terrific). It's just a very flexible tool. We've been using Q for many years, I couldn't bear to go back to SPSS now. Review collected by and hosted on G2.com.

I can't think of a single thing ... I'm only writing more because the system is insisting on 40 characters. Review collected by and hosted on G2.com.

Have been using Q for the past 4 years and absolutely love it as an analysis tool. We started with one user license in Nielsen and soon realised the tremendous potential benefit of having Q for our associates in client servicing. It helped them to be more productive, reduced cycle time of projects, eliminated back and forth with the data processing and analysis teams. Q is extremely user friendly and quite intuitive to use. Using Q the teams were able to gain deeper insights from the data. It was helpful not only in delivering greater value to our clients, but also to internally among our teams. The Q training and support teams are really proactive and are every ready to help resolving queries and problems quickly. Review collected by and hosted on G2.com.

Nothing much to dislike about Q. Its only certain data formats are not supported and hence its a good idea to have the survey data map aligned with the Q data structures. Review collected by and hosted on G2.com.